At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Could you be the full-time Machine Learning Engineer in Singapore we’re looking for?

Your future role

Take on a new challenge and apply your data science and AI expertise in a cutting-edge field. You’ll work alongside innovative, collaborative, and forward-thinking teammates.

You'll contribute to Alstom’s Data Science and AI programs by developing, testing, validating, and industrializing data-driven solutions that enhance mobility. Day-to-day, you’ll work closely with teams across the business (engineering, IT, and operations), design and deploy AI/ML pipelines, and much more.

You’ll specifically take care of developing and maintaining AI/ML software modules to improve customer performance and experience, but also design scalable data solutions and ensure data quality and security.

We’ll look to you for:

• Designing and implementing large-scale, production-grade AI/ML pipelines.

  
  

• Leading the full end-to-end ML lifecycle, including development, deployment, monitoring, and optimization.

  
  

• Defining, developing, and sustaining data solutions for industrial-grade applications.

  
  

• Building multi-tenant data collectors, storage systems, and processing units.

  
  

• Designing scalable data models (SQL and NoSQL) and improving data quality.

  
  

• Developing customizable analytical dashboards and ensuring strong testing and quality assurance practices.

  
  

• Staying updated on emerging technologies and contributing to continuous improvement.

  
  

All about you

We value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role:

• Master’s or Ph.D. in Computer Science, Data Engineering, Machine Learning, or a related field.

  
  

• Experience in designing and deploying AI/ML solutions at scale.

  
  

• Strong background in data engineering and pipeline development.

  
  

• Proficiency in Python, SQL, and NoSQL databases.

  
  

• Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  
  

• Knowledge of data streaming tools like Kafka or Spark, and containerization tools such as Docker or Kubernetes.

  
  

• Familiarity with cloud platforms (AWS, Azure, GCP) and on-prem solutions.

  
  

• Understanding of CI/CD and MLOps practices.

  
  

• Strong problem-solving and analytical mindset.

  
  

• Ability to work collaboratively in cross-functional teams and excellent communication skills.

  
  

Things you’ll enjoy Join us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You’ll also:

• Enjoy stability, challenges, and a long-term career free from boring daily routines.

  
  

• Work with new security standards for rail signalling.

  
  

• Collaborate with transverse teams and helpful colleagues.

  
  

• Contribute to innovative projects that shape the future of mobility.

  
  

• Utilise our flexible and inclusive working environment.

  
  

• Steer your career in whatever direction you choose across functions and countries.

  
  

• Benefit from our investment in your development, through award-winning learning opportunities.

  
  

• Progress towards leadership roles or advanced technical expertise.

  
  

• Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension).

  
  

You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!

Important to note

As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.